00c7da0f5f
* Revert submodule changes * Fix build on Win * Fix precommit: set correct shapes for broadcasting; disable check with ref for use_new_frontend mode * fix precommit * Fix precommits * Temporary skip new tests on GPU with FP16 * Resolve review comments, trigger CI * Resolve review comments * Resolve review comments
108 lines
4.5 KiB
Python
108 lines
4.5 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from common.tf_layer_test_class import CommonTFLayerTest
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from common.utils.tf_utils import permute_nchw_to_nhwc
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class TestSelect(CommonTFLayerTest):
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def create_select_net(self, shape_condition, shape_input, ir_version, use_new_frontend):
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"""
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Tensorflow net IR net
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Condition --| Condition --|
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v v
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Input_1-> Select Input_1-> Select
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^ ^
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Input_2-----| Input_2-----|
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"""
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#
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# Create Tensorflow model
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#
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import tensorflow as tf
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tf.compat.v1.reset_default_graph()
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# Create the graph and model
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with tf.compat.v1.Session() as sess:
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# Permute shapes NCHW -> NHWC for TF network creation
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shape_condition_net = permute_nchw_to_nhwc(shape_condition)
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shape_input_net = permute_nchw_to_nhwc(shape_input)
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condition = tf.compat.v1.placeholder(tf.bool, shape_condition_net, 'Input_condition')
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input_1 = tf.compat.v1.placeholder(tf.float32, shape_input_net, 'Input_1')
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input_2 = tf.compat.v1.placeholder(tf.float32, shape_input_net, 'Input_2')
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tf.compat.v1.where(condition, input_1, input_2, name='Operation')
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tf.compat.v1.global_variables_initializer()
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tf_net = sess.graph_def
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#
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# Create reference IR net
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# Please, specify 'type': 'Input' for input node
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# Moreover, do not forget to validate ALL layer attributes!!!
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#
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ref_net = None
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return tf_net, ref_net
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test_data_1D = [dict(shape_condition=[2], shape_input=[2])]
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@pytest.mark.parametrize("params", test_data_1D)
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@pytest.mark.nightly
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def test_select_1D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_select_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_2D = [
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dict(shape_condition=[2], shape_input=[2, 3]),
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dict(shape_condition=[3, 5], shape_input=[3, 5]),
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]
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@pytest.mark.parametrize("params", test_data_2D)
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@pytest.mark.nightly
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def test_select_2D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_select_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_3D = [
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dict(shape_condition=[3], shape_input=[3, 4, 5]),
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dict(shape_condition=[3, 4, 5], shape_input=[3, 4, 5]),
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]
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@pytest.mark.parametrize("params", test_data_3D)
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@pytest.mark.nightly
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def test_select_3D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_select_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_4D = [
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dict(shape_condition=[3], shape_input=[3, 4, 5, 6]),
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dict(shape_condition=[3, 4, 5, 6], shape_input=[3, 4, 5, 6]),
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]
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@pytest.mark.parametrize("params", test_data_4D)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_select_4D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_select_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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test_data_5D = [
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dict(shape_condition=[3], shape_input=[3, 4, 5, 6, 7]),
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dict(shape_condition=[3, 4, 5, 6, 7], shape_input=[3, 4, 5, 6, 7]),
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]
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# TODO mark as precommit (after successfully passing in nightly)
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@pytest.mark.parametrize("params", test_data_5D)
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@pytest.mark.nightly
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def test_select_5D(self, params, ie_device, precision, ir_version, temp_dir, use_new_frontend):
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self._test(*self.create_select_net(**params, ir_version=ir_version, use_new_frontend=use_new_frontend),
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ie_device, precision, ir_version, temp_dir=temp_dir, use_new_frontend=use_new_frontend)
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